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Detecting the most stable and best-performing genotypes by analysing on-farm experiments with ranking data across different environments and management practices

This poster illustrates how tricot data can be leveraged to assess genotype × environment × management (GxExM) interactions, with the aim of identifying more context-responsive crop varieties. It emphasizes the use of simple ranking data and large datasets to uncover complex adaptation patterns. The...

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Main Author: 1000FARMS Platform
Format: Poster
Language:Inglés
Published: 2025
Subjects:
farming systems
participatory research
on-farm research
data collection
data analysis
citizen science
genetic gain-genetic advance
Online Access:https://hdl.handle.net/10568/179744
Summary:This poster illustrates how tricot data can be leveraged to assess genotype × environment × management (GxExM) interactions, with the aim of identifying more context-responsive crop varieties. It emphasizes the use of simple ranking data and large datasets to uncover complex adaptation patterns. The study is part of 1000FARMS’ broader effort to make farmer-managed trials a valuable source of scientific insight.

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